What a weekend. Around 30 teams showed up to build on Laguna XS.2, and the bar was very, very high.
Winners below 🏆
1st: Overthinking Machines Labs
@emilfristed
Pseudo-full-duplex with text-only models through dialogue modeling with silence tokens.
https://t.co/rP4BZWrtrz
2nd: Coding Kernels by the Pool
Charlie Masters, Evan O’Leary, Jessica Mak
Laguna-Dense: a ~3B fully dense distillation of Laguna XS.2 for generating CUDA kernels from PyTorch.
https://t.co/OLmGezfGqF
3rd: attnvq
@alaradirik
Attention-aware product vector quantization of KV caches.
https://t.co/SwXmcIEOhn
Honorary mention: Laguna Vision
Aaron Kazah @aaronkazah
A SigLIP vision encoder + resampler + LoRA adapters, trained on 300k examples to give Laguna XS.2 a native visual input path.
https://t.co/dgrtgI7eoj
Huge congrats to the winners, and thank you to everyone who hacked, demoed, judged, helped, and pushed Laguna XS.2 in directions we would not have found on our own!
@nvidia@PrimeIntellect@adaption_ai@huggingface
Today we’re publishing the technical report behind Laguna M.1 and Laguna XS.2.
This report opens up more of what went into them: Model Factory, pre-training data, distributed training, post-training, agent RL, quantization, and evaluation.
https://t.co/RWk2F9IrAI
Super pumped for the @poolsideai research hackathon on the 29th. Will be a great crowd, but ngl worth going just for a shot at winning the DGX Spark...
ok but you could simply
come to London next Friday
play with Laguna XS.2 weights
build smth cool
win the interesting little guy
go home and keep tinkering
seems like a good weekend to me
https://t.co/IdXZWvJY9k
setup hell kills good RL ideas.
so we’re giving researchers Laguna XS.2, @PrimeIntellect Lab, and a weekend in London to run the whole loop:
tasks → evals → rewards → training → rollouts → adapters → inference
14 days to go.
come touch the weights:
https://t.co/0HnfF6TuQf
“train a custom 30B MoE agent model with reinforcement learning in a real harness” is now easy and cost-effective enough that it can be a hackathon format
Poolside is hosting a 2-day model research hackathon in London.
Join us to push an open-weight agent model as far as you can. RL and fine-tune Laguna XS.2, our latest-generation model, on Prime Intellect Lab.
Dates: May 29–30
Partners: @nvidia + @PrimeIntellect + @huggingface
Prize: NVIDIA DGX Spark
Agents need better models.
Better models need cracked researchers.
Link below.
you asked for it. so we made it.
say hi to https://t.co/qxa4fZgVgG
each reference of the weekly tech recaps. explained.
its finally time to understand all of them. enjoy.